Report for Model 8

— for both jointly and separately

2024-08-10

1. Joint Modeling

1.1 Trace plots for convergence check

The current MCMC setting is:

  • 100,000 iteration;
  • 90,000 burn-in;
  • 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.00
## dh0           1.05       1.13
## dh1           1.06       1.17
## dl0           1.15       1.42
## dl1           1.38       1.91
## dl2           1.12       1.33
## dl3           1.12       1.33
## 
## Multivariate psrf
## 
## 1.3

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

  • Total deviance;
  • Variables that didn’t pass the convergence check.

1.4 WAIC results

LevelH LevelL
DIC 1447.5305 22552.6600
DIC3 1304.7740 22449.1670
PWAIC 117.9956 136.0804
WAIC 1395.5854 22455.2355

2. Separate Modeling

2.1 Trace plots for convergence check

The current MCMC setting is:

  • 100,000 iteration;
  • 90,000 burn-in;
  • 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.01
## dh0           1.94       3.64
## dh1           1.88       3.50
## dl0           1.27       1.71
## dl1           1.13       1.34
## dl2           1.08       1.22
## dl3           1.04       1.11
## 
## Multivariate psrf
## 
## 1.66

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

  • Total deviance;
  • Variables that didn’t pass the convergence check.

2.4 WAIC results

LevelH LevelL
DIC 1374.94287 27387.8319
DIC3 1251.73037 27458.0214
PWAIC 90.74929 118.7216
WAIC 1320.99190 27462.1164